2k citations · 4.6k across the 27 of their papers we have counts for
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cs.NE2018★ 14 cited
Associative Compression Networks for Representation Learning
Alex Graves, Jacob Menick, Aaron van den Oord
This paper introduces Associative Compression Networks (ACNs), a new framework for variational autoencoding with neural networks. The system differs from existing variational autoe…
cs.NE2017★ 39 cited
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott Reed, Yutian Chen, Thomas Paine +5
Deep autoregressive models have shown state-of-the-art performance in density estimation for natural images on large-scale datasets such as ImageNet. However, such models require m…